Emily Jones Email & Phone Number

California, United States

Seattle, Washington, US

• Support multiple casual mobile games, including Gummy Drop!, Puzzles and Passports, Evermerge, and Cooking Craze.
• Build machine learning models and work with engineering teams to productionize model outputs focusing on delivering actionable results quickly, rather than hunting for model perfection.
• Evaluate performance of new features and content using A/B testing on experimental data Create game-agnostic tools and applications to streamline data science projects and the onboarding of new games.
• Onboard and support new games by creating data tables/views, adding them to data science processes, applications, and models.
• Effectively write, present, and communicate results with recommendations.
• Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources including collecting, assembling, cleansing data, followed by formatting, and validating results.

San Mateo, California, US

• Advised, defined, and implemented team strategy for MLB The Show data to ensure a robust understanding of overall user motivations and behaviors.
• Led team of Data Scientists, Analysts and Engineers as Interim Lead for 6 months, overseeing a game launch.
• Discovered business gaps that could be filled using data science.
• Built and maintained machine learning models to understand user segmentation, engagement, and spending behaviors.
• Contributed unique ideas to team leadership that provided insights positively impacting game design, quality, and user experience.
• Communicated with team members and stakeholders to determine project needs and requirements.

San Mateo, California, US

New York, New York, US

• Provided insight on Grand Theft Auto V Online and Red Dead Redemption 2 KPIs across various structured and unstructured data sources.
• Identified cheating/exploit patterns and created monitoring and descriptive game analytics reporting.
• Created monitoring and descriptive game analytics reporting.
• Combined qualitative and quantitative data-driven insights with game knowledge.
• Communicated and presented findings to stakeholders of varying levels.
• Navigated, utilized and analyzed observational data, big data, telemetry, and Streaming Data.

• Personal Lines- Research and Development
• Created a survival analysis model to predict length of policies and lower onboarding costs.
• Delved deeply into a varying array of large data sources and prepared for analysis
• Established and systematically performed processes to assess and validate data accuracy
• Performed exploratory analysis such as data/text mining, empirical data analysis, univariate analysis, etc.
• Ascertained and executed plans to build, implement and maintain predictive models

Amherst, Massachusetts, US

Social & Economic Impact of Gambling in MA (SEIGMA)- Shiny Project Coordinator, UMASS- Developed and deployed Shiny applications displaying secondary social and economic data in Massachusetts in an easy to understand matter- Supervised team consisting of three graduate research assistants- Wrote, documented and reported methods of displaying data using.

Amherst, Massachusetts, US

• Graduate Research Assistant, Dr. A Foulkes, UMASS
• Analyzed Genome-wide association study (GWAS) data
• Worked to identify and develop appropriate techniques for analyzing single nucleotide polymorphisms (SNPs) and disease outcomes
• Created tutorial for standardized GWAS analysis methods
• Tested different imputation methods and impact on analysis

Amherst, Massachusetts, US

• Graduate Teaching Assistant, PubHlth 391f, UMASS
• One of two teaching assistants for Public Health 391f: Introduction to Biostatistics
• Oversaw a class of 212 undergraduate students
• Held office hours for students to assist with R software and Biostatistic concepts
• Administered examinations, wrote homework solutions, graded homework and assisted professor with any additional tasks

Fullerton, CA, US

• Undergraduate Researcher under Dr. G Bourget, CSUF
• Investigated, through a Monte Carlo Simulation study, if the classical F-test can still be used in microarray analysis even though assumptions are violated
• Wrote Monte Carlo simulation code in R software
• Researched and found pertinent journals related to our research
• Used LaTex to produce presentation posters
• Used LaTex to write two papers for Dimensions, CNSM Journal

San Clemente, CA, US

• Technical Support Specialist, Play N Trade Franchise, Inc.
• Oversaw team of 5 support specialists
• Wrote programs for Play N Trade’s Point of Sale (POS) System using Microsoft SQL Server
• Supported 200 stores’ digital advertising, POS system, printers, console repairs and other miscellaneous technical support
• Formed a new process allowing for 24 hour support
• Remotely fixed and documented POS bugs at national and international locations

Master Of Science (M.S.), Biostatistics

Bs, Mathematics

Associate Of Arts (A.A.), Architecture